Project ThriveWell is a mobile sensing initiative designed to build a rich ubiquitous computing (ubicomp) dataset focused on elderly individuals.
Unlike clinical datasets that provide only brief snapshots of health, ThriveWell continuously collects passive sensor data—such as GPS, accelerometer, and Bluetooth—over weeks or months.
This long-term behavioral data is especially valuable for studying conditions like Mild Cognitive Impairment (MCI), where early signs often go unnoticed. By capturing subtle changes in daily routines, ThriveWell supports early detection and ongoing monitoring in cognitive health research.
I joined the team as a UI designer, initially focusing on visualizing users’ behavioral data within the app. Over time, my role expanded to developing tools such as a real-time data upload status monitor for the admin dashboard, enhancing system oversight.
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